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Mantenimiento

Predictive Maintenance

A condition-based maintenance strategy that uses real-time monitoring and analysis of equipment operating parameters (vibration, temperature, oil condition, current, ultrasound, etc.) to detect the onset of degradation and predict when failure will occur, allowing maintenance to be scheduled at the optimal time — late enough to extract maximum useful life from the component, but early enough to prevent unplanned failure. Core technologies: vibration analysis (bearing and gear defects, imbalance, misalignment), infrared thermography (electrical connections, insulation, bearing temperature), oil analysis (wear particles, contamination, oil degradation), ultrasonic testing (leak detection, bearing lubrication assessment, electrical discharge), motor current analysis (rotor bar and stator faults), and online monitoring systems (continuous data from sensors on critical equipment). Per ISO 13374 (condition monitoring), ISO 17359 (condition monitoring guidelines), and ISO 55000 (asset management). ROI: typical PdM programs deliver 10:1 return on investment through: 25-50% reduction in maintenance costs, 70-90% reduction in unplanned downtime, 35-60% extension of equipment life, and 20-30% reduction in spare parts inventory. PdM is the foundation of Industry 4.0 and IIoT-enabled maintenance.

What you need to know

  • A condition-based maintenance strategy that uses real-time monitoring and analysis of equipment operating parameters (vibration, temperature, oil condition, current, ultrasound, etc.) to detect the onset of degradation and predict when failure will occur, allowing maintenance to be scheduled at the optimal time — late enough to extract maximum useful life from the component, but early enough to prevent unplanned failure.
  • Core technologies: vibration analysis (bearing and gear defects, imbalance, misalignment), infrared thermography (electrical connections, insulation, bearing temperature), oil analysis (wear particles, contamination, oil degradation), ultrasonic testing (leak detection, bearing lubrication assessment, electrical discharge), motor current analysis (rotor bar and stator faults), and online monitoring systems (continuous data from sensors on critical equipment).
  • Per ISO 13374 (condition monitoring), ISO 17359 (condition monitoring guidelines), and ISO 55000 (asset management).
  • ROI: typical PdM programs deliver 10:1 return on investment through: 25-50% reduction in maintenance costs, 70-90% reduction in unplanned downtime, 35-60% extension of equipment life, and 20-30% reduction in spare parts inventory.
  • PdM is the foundation of Industry 4.0 and IIoT-enabled maintenance.

Full definition

Predictive Maintenance (PdM) is an advanced maintenance strategy that leverages real-time monitoring and analysis of equipment performance to forecast potential failures. This method differs from traditional maintenance approaches, such as reactive maintenance, which addresses failures after they occur, and preventive maintenance, which schedules maintenance at regular intervals regardless of the actual condition of the equipment. By utilizing various monitoring technologies, PdM aims to optimize maintenance schedules, thereby maximizing equipment uptime and extending asset lifespan. Key parameters monitored include vibration, temperature, oil condition, electrical current, and ultrasound signals, which provide insights into the operating health of machinery.

For instance, vibration analysis can detect anomalies related to bearings and gears, such as imbalance and misalignment, which could lead to catastrophic failures if left unchecked. Infrared thermography is employed to assess temperature variances that may indicate electrical issues or insulation failures. Oil analysis reveals wear particles and contamination, providing critical data regarding lubrication and the overall condition of moving parts. Ultrasonic testing is instrumental in identifying leaks and evaluating lubrication effectiveness, while motor current analysis can uncover rotor bar and stator faults. The implementation of online monitoring systems facilitates continuous data gathering from sensors attached to crucial equipment, enabling timely decision-making.

According to ISO 13374, which outlines standards for condition monitoring, and ISO 55000, which focuses on asset management, PdM is essential in achieving operational excellence. The return on investment (ROI) for predictive maintenance programs is significantly high, often yielding returns of approximately 10:1. Companies typically experience reductions in maintenance costs by 25-50%, unplanned downtime by 70-90%, and an extension of equipment life by 35-60%, alongside a 20-30% decrease in spare parts inventory. As the foundation of Industry 4.0 and Industrial Internet of Things (IIoT) applications, PdM is reshaping how maintenance strategies are approached in industrial environments.

What you need to know

  • What you need to know: PdM uses real-time data to predict failures, improving equipment reliability.
  • Common technologies include vibration analysis, infrared thermography, and oil analysis.
  • Typical ROI for PdM programs is around 10:1, significantly reducing downtime and maintenance costs.
  • Standards like ISO 13374 and ISO 55000 guide the implementation of effective condition monitoring.
  • PdM contributes to extending equipment life by 35-60%, ensuring optimal operational efficiency.

Industrial applications

  • 1Manufacturing: Monitoring of CNC machines to predict spindle failures.
  • 2Power Generation: Analyzing turbine vibrations to prevent outages.
  • 3Oil & Gas: Using ultrasonic testing for pipeline integrity assessments.
  • 4Automotive: Monitoring engine temperature and oil quality to avoid breakdowns.
  • 5Aerospace: Implementing vibration analysis on aircraft engines for safety compliance.

Common mistakes

  • ✕Neglecting to integrate data from multiple monitoring technologies.
  • ✕Failing to regularly update predictive models based on new data.
  • ✕Overlooking the importance of training personnel on PdM tools and techniques.
  • ✕Underestimating the initial investment required for effective PdM implementation.
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Pro tip

Regularly calibrate your sensors and equipment used in PdM to ensure data accuracy and reliability.

Technical standards

  • ISO 13374: Condition monitoring framework and guidelines.
  • ISO 17359: Guidelines for condition monitoring and diagnostics.
  • ISO 55000: Asset management principles and terminology.

Suppliers of industrial maintenance in Mexico

AguascalientesVer Bandas Industriales
Ciudad JuárezVer Bandas Industriales
Ciudad de MéxicoVer Bandas Industriales
GuadalajaraVer Bandas Industriales
Cotiza en tu ciudad

Applicable standards

ISO 13374ISO 17359ISO 55000
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